The weakly electric fish have the electric organ to generate the electric field and electrosensory mechanism to read the change of electric field with their electroreceptors. The electric organ produce a waveform of electric field as their electric organ discharge (EOD). Their active electrolocation system can detect the distortion of the self-generated electric field, which is caused by a target object, and estimate the position of a target object. In this paper, we suggest a hypothesis that the periodic EOD signals are involved to extract localization features from noisy electrosensory signals and then provide a possible neural network to process the noise-filtering to obtain the accurate information of a target position. The neural network has sinusoidal weights to process a time series of sensor readings for each electroreceptor.
|Title of host publication||ESANN 2011 - 19th European Symposium on Artificial Neural Networks|
|Number of pages||6|
|Publication status||Published - 2011|
|Event||19th European Symposium on Artificial Neural Networks, ESANN 2011 - Bruges, Belgium|
Duration: 2011 Apr 27 → 2011 Apr 29
|Name||ESANN 2011 - 19th European Symposium on Artificial Neural Networks|
|Conference||19th European Symposium on Artificial Neural Networks, ESANN 2011|
|Period||11/4/27 → 11/4/29|
Bibliographical noteFunding Information:
This work was supported by the Mid-career Researcher Program through an NRF grant funded by the MEST (No. 2010-0000460)
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Information Systems